{"id":"https://openalex.org/W4403942304","doi":"https://doi.org/10.3390/ijgi13110386","title":"Research on Land Use and Land Cover Information Extraction Methods for Remote Sensing Images Based on Improved Convolutional Neural Networks","display_name":"Research on Land Use and Land Cover Information Extraction Methods for Remote Sensing Images Based on Improved Convolutional Neural Networks","publication_year":2024,"publication_date":"2024-10-31","ids":{"openalex":"https://openalex.org/W4403942304","doi":"https://doi.org/10.3390/ijgi13110386"},"language":"en","primary_location":{"id":"doi:10.3390/ijgi13110386","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi13110386","pdf_url":null,"source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3390/ijgi13110386","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000125775","display_name":"Xue Ding","orcid":"https://orcid.org/0000-0002-0268-5117"},"institutions":[{"id":"https://openalex.org/I120825670","display_name":"Yunnan Normal University","ror":"https://ror.org/00sc9n023","country_code":"CN","type":"education","lineage":["https://openalex.org/I120825670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xue Ding","raw_affiliation_strings":["Center for Geospatial Information Engineering and Technology of Yunnan Province, Kunming 650500, China","Faculty of Geography, Yunnan Normal University, Kunming 650500, China","Key Laboratory of Resources and Environmental Remote Sensing for Universities in Yunnan Kunming, Kunming 650500, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Geospatial Information Engineering and Technology of Yunnan Province, Kunming 650500, China","institution_ids":[]},{"raw_affiliation_string":"Faculty of Geography, Yunnan Normal University, Kunming 650500, China","institution_ids":["https://openalex.org/I120825670"]},{"raw_affiliation_string":"Key Laboratory of Resources and Environmental Remote Sensing for Universities in Yunnan Kunming, Kunming 650500, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109009734","display_name":"Zhaoqian Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I120825670","display_name":"Yunnan Normal University","ror":"https://ror.org/00sc9n023","country_code":"CN","type":"education","lineage":["https://openalex.org/I120825670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoqian Wang","raw_affiliation_strings":["School of Information Science and Technology, Yunnan Normal University, Kunming 650500, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Yunnan Normal University, Kunming 650500, China","institution_ids":["https://openalex.org/I120825670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003844442","display_name":"Shuangyun Peng","orcid":"https://orcid.org/0000-0002-0724-0184"},"institutions":[{"id":"https://openalex.org/I120825670","display_name":"Yunnan Normal University","ror":"https://ror.org/00sc9n023","country_code":"CN","type":"education","lineage":["https://openalex.org/I120825670"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuangyun Peng","raw_affiliation_strings":["Faculty of Geography, Yunnan Normal University, Kunming 650500, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Geography, Yunnan Normal University, Kunming 650500, China","institution_ids":["https://openalex.org/I120825670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101276239","display_name":"Shao Xin","orcid":null},"institutions":[{"id":"https://openalex.org/I120825670","display_name":"Yunnan Normal University","ror":"https://ror.org/00sc9n023","country_code":"CN","type":"education","lineage":["https://openalex.org/I120825670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Shao","raw_affiliation_strings":["Center for Geospatial Information Engineering and Technology of Yunnan Province, Kunming 650500, China","Faculty of Geography, Yunnan Normal University, Kunming 650500, China","Key Laboratory of Resources and Environmental Remote Sensing for Universities in Yunnan Kunming, Kunming 650500, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Geospatial Information Engineering and Technology of Yunnan Province, Kunming 650500, China","institution_ids":[]},{"raw_affiliation_string":"Faculty of Geography, Yunnan Normal University, Kunming 650500, China","institution_ids":["https://openalex.org/I120825670"]},{"raw_affiliation_string":"Key Laboratory of Resources and Environmental Remote Sensing for Universities in Yunnan Kunming, Kunming 650500, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102589059","display_name":"Ruifang Deng","orcid":null},"institutions":[{"id":"https://openalex.org/I120825670","display_name":"Yunnan Normal University","ror":"https://ror.org/00sc9n023","country_code":"CN","type":"education","lineage":["https://openalex.org/I120825670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruifang Deng","raw_affiliation_strings":["School of Information Science and Technology, Yunnan Normal University, Kunming 650500, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Yunnan Normal University, Kunming 650500, China","institution_ids":["https://openalex.org/I120825670"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5003844442"],"corresponding_institution_ids":["https://openalex.org/I120825670"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":1.027,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.74712255,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"13","issue":"11","first_page":"386","last_page":"386"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9822999835014343,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13203","display_name":"Environmental Changes in China","score":0.9790999889373779,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7811490297317505},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.7086538076400757},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.7023129463195801},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.6217678785324097},{"id":"https://openalex.org/keywords/cover","display_name":"Cover (algebra)","score":0.6028997898101807},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5888718366622925},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.5544009804725647},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.4786318838596344},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4588108956813812},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3964208960533142},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3772469162940979},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2694055736064911},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09464621543884277},{"id":"https://openalex.org/keywords/civil-engineering","display_name":"Civil engineering","score":0.07427382469177246}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7811490297317505},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.7086538076400757},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.7023129463195801},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.6217678785324097},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.6028997898101807},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5888718366622925},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.5544009804725647},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.4786318838596344},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4588108956813812},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3964208960533142},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3772469162940979},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2694055736064911},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09464621543884277},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.07427382469177246},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/ijgi13110386","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi13110386","pdf_url":null,"source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:147565b4babb4d859ff83c445a056eeb","is_oa":false,"landing_page_url":"https://doaj.org/article/147565b4babb4d859ff83c445a056eeb","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISPRS International Journal of Geo-Information, Vol 13, Iss 11, p 386 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/ijgi13110386","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi13110386","pdf_url":null,"source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5600000023841858,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2033042438","https://openalex.org/W2407521645","https://openalex.org/W2549139847","https://openalex.org/W2752782242","https://openalex.org/W2884436604","https://openalex.org/W2962862396","https://openalex.org/W3019761014","https://openalex.org/W3049335070","https://openalex.org/W3122458267","https://openalex.org/W3134627481","https://openalex.org/W3162977387","https://openalex.org/W3172397285","https://openalex.org/W4205239934","https://openalex.org/W4205765684","https://openalex.org/W4221116396","https://openalex.org/W4225784760","https://openalex.org/W4280568747","https://openalex.org/W4292694364","https://openalex.org/W4296841581","https://openalex.org/W4310553620","https://openalex.org/W4313432534","https://openalex.org/W4362469544","https://openalex.org/W4382519792","https://openalex.org/W4382897079","https://openalex.org/W4386223445","https://openalex.org/W4387740573","https://openalex.org/W4392240317","https://openalex.org/W4400010815","https://openalex.org/W4400448280"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W3133615129","https://openalex.org/W2087854757","https://openalex.org/W2188959887","https://openalex.org/W2373152553","https://openalex.org/W2972049582","https://openalex.org/W4389201442","https://openalex.org/W2386169820","https://openalex.org/W604251607","https://openalex.org/W3170595163"],"abstract_inverted_index":{"To":[0],"address":[1],"the":[2,48,65,73,91],"challenges":[3],"that":[4,106,155],"convolutional":[5],"neural":[6],"networks":[7],"(CNNs)":[8],"face":[9],"in":[10,18,95],"extracting":[11,96],"small":[12,52,165],"objects":[13],"and":[14,30,78,116,125,133,136,142,164],"handling":[15],"class":[16,100],"imbalance":[17,101],"remote":[19],"sensing":[20],"imagery,":[21],"this":[22],"paper":[23],"proposes":[24],"a":[25,56,85],"novel":[26,57],"spatial":[27,80],"contextual":[28,81],"information":[29,98,151,160],"multiscale":[31],"feature":[32],"fusion":[33,66],"encoding\u2013decoding":[34],"network,":[35,45],"SCIMF-Net.":[36],"Firstly,":[37],"SCIMF-Net":[38,92,118,156],"employs":[39],"an":[40],"improved":[41],"ResNeXt-101":[42],"deep":[43],"backbone":[44],"significantly":[46],"enhancing":[47],"extraction":[49,152],"capability":[50],"of":[51,67,76,147],"object":[53],"features.":[54],"Next,":[55],"PMFF":[58],"module":[59],"is":[60],"designed":[61],"to":[62,108],"effectively":[63],"promote":[64],"features":[68],"at":[69],"different":[70],"scales,":[71],"deepening":[72],"model\u2019s":[74,93],"understanding":[75],"global":[77],"local":[79],"information.":[82],"Finally,":[83],"introducing":[84],"weighted":[86],"joint":[87],"loss":[88],"function":[89],"improves":[90,119],"performance":[94],"LULC":[97,150],"under":[99],"conditions.":[102],"Experimental":[103],"results":[104,153],"show":[105],"compared":[107],"other":[109],"CNNs":[110],"such":[111],"as":[112],"Res-FCN,":[113],"U-Net,":[114],"SE-U-Net,":[115],"U-Net++,":[117],"PA":[120],"by":[121,129,138],"0.68%,":[122],"0.54%,":[123],"1.61%,":[124],"3.39%,":[126],"respectively;":[127,135],"MPA":[128],"2.96%,":[130],"4.51%,":[131],"2.37%,":[132],"3.45%,":[134],"MIOU":[137],"3.27%,":[139],"4.89%,":[140],"4.2%,":[141],"5.68%,":[143],"respectively.":[144],"Detailed":[145],"comparisons":[146],"locally":[148],"visualized":[149],"indicate":[154],"can":[157],"accurately":[158],"extract":[159],"from":[161],"imbalanced":[162],"classes":[163],"objects.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
